We carefully selected seven tasks that lie on the intersection of (1) covering all major task categories in Taskonomy's task similarity tree [1]}, and (2) align with the community's general research interests (e.g., classification tasks, or common and cheap pretrain tasks). As is shown in Figure REF , the selected tasks include a) image classification tasks: Object Classification and Scene Classification; b) pixel-level prediction tasks: Surface Normal and Semantic Segmentation; c) self-supervised task: Jigsaw Puzzle and Autoencoding; d) point regression task: Room Layout.
